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1-Dimensional polynomial neural networks for audio signal related
  problems

1-Dimensional polynomial neural networks for audio signal related problems

9 September 2020
Habib Ben Abdallah
C. Henry
S. Ramanna
ArXivPDFHTML

Papers citing "1-Dimensional polynomial neural networks for audio signal related problems"

18 / 18 papers shown
Title
Self-Organized Operational Neural Networks with Generative Neurons
Self-Organized Operational Neural Networks with Generative Neurons
S. Kiranyaz
Junaid Malik
Habib Ben Abdallah
T. Ince
Alexandros Iosifidis
Moncef Gabbouj
40
81
0
24 Apr 2020
Recurrent Kernel Networks
Recurrent Kernel Networks
Dexiong Chen
Laurent Jacob
Julien Mairal
75
13
0
07 Jun 2019
Kervolutional Neural Networks
Kervolutional Neural Networks
Chen Wang
Jianfei Yang
Lihua Xie
Junsong Yuan
61
68
0
08 Apr 2019
Operational Neural Networks
Operational Neural Networks
S. Kiranyaz
T. Ince
Alexandros Iosifidis
Moncef Gabbouj
35
89
0
15 Feb 2019
Heterogeneous Multilayer Generalized Operational Perceptron
Heterogeneous Multilayer Generalized Operational Perceptron
D. Tran
S. Kiranyaz
Moncef Gabbouj
Alexandros Iosifidis
72
67
0
13 Apr 2018
Deep Learning using Rectified Linear Units (ReLU)
Deep Learning using Rectified Linear Units (ReLU)
Abien Fred Agarap
64
3,228
0
22 Mar 2018
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel
Cinjon Resnick
Adam Roberts
Sander Dieleman
Douglas Eck
Karen Simonyan
Mohammad Norouzi
115
627
0
05 Apr 2017
Deep Convolutional Neural Networks and Data Augmentation for
  Environmental Sound Classification
Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification
Justin Salamon
J. P. Bello
70
1,304
0
15 Aug 2016
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
310
1,939
0
06 Jun 2016
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks
Julien Mairal
SSL
64
130
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
73
484
0
30 Sep 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,305
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Fractional Max-Pooling
Fractional Max-Pooling
Benjamin Graham
TPM
90
517
0
18 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
465
43,658
0
17 Sep 2014
Convolutional Kernel Networks
Convolutional Kernel Networks
Julien Mairal
Piotr Koniusz
Zaïd Harchaoui
Cordelia Schmid
92
380
0
12 Jun 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
246
16,361
0
30 Apr 2014
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